EconPapers    
Economics at your fingertips  
 

What can be learnt from the analysis of short time series of ion channel recordings

Szymon Mercik, Zuzanna Siwy and Karina Weron

Physica A: Statistical Mechanics and its Applications, 2000, vol. 276, issue 3, 376-390

Abstract: The question, what information about the system can be derived from short time series of potassium current signal recorded at various voltages, has been posed. The statistical analysis of 4000-point data samples of ionic current in a single channel of the biological membrane is presented. The results suggest that for high voltages K+ current reaches its saturation state. Using a long control sample (250 000 points) we have shown that the main characteristics of the ionic current probability density and dwell time distributions do not depend on the series length.

Keywords: Ionic current; Power laws; Heavy-tail property (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437199004665
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:276:y:2000:i:3:p:376-390

DOI: 10.1016/S0378-4371(99)00466-5

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:276:y:2000:i:3:p:376-390